[ACL '26] UNCODE (a.k.a. PC-Sampler): training-free decoding calibration for masked diffusion LLMs. Code for "Empirical Analysis of Decoding Biases in Masked Diffusion Models"
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Oct 24, 2026 - Python
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[ACL '26] UNCODE (a.k.a. PC-Sampler): training-free decoding calibration for masked diffusion LLMs. Code for "Empirical Analysis of Decoding Biases in Masked Diffusion Models"
nlp decoding text-generation sampling reasoning uncode non-autoregressive llm training-free discrete-diffusion llada diffusion-language-models diffusion-llm dllm acl2026 masked-diffusion-models pc-sampler
UNCode is an online platform for frequent practice and automatic evaluation of computer programming, Jupyter Notebooks and hardware description language (VHDL/Verilog) assignments. Also provides a pluggable interface with your existing LMS.
learning education programming cpp feedback vhdl autograding evaluation python3 assessment lti learn-to-code lms moodle uncode auto-grading grading-system notebook-jupyter formative-feedback grading-systems
Project page: Empirical Analysis of Decoding Biases in Masked Diffusion Models (UNCODE, formerly PC-Sampler; ACL 2026)
Multi-Language Encoder/Decoder Tool This project is a web-based tool that allows users to encode or decode text using Base64 encoding. It includes functionality for switching between Arabic and English languages, and provides options for copying the encoded/decoded result to the clipboard.
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